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NIST only participates in the February and August reviews. Metals-based additive manufacturing (AM) encompasses several different technologies that enable the controlled fusing, melting, and
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algorithms to improve methods for peptide identification from raw mass spectral data. The use of orthogonal information such as multi-enzyme digestions, to verify the presence of a peptide using different
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further enriches the available data from which material behavior can be extracted. Separate work is being done to develop robust algorithms to quantitatively compare the physical and simulated experimental
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considerable amount of data of the standard biological fluids on different LC-MS platforms and in-house software has been developed for chromatography alignment, spectral similarity, peak deconvolution, and